Senior Ai Engineer

6 days ago


Singapore Hays Full time

**Key Responsibilities**:

- Write efficient, maintainable code adhering to software engineering best practices.
- Utilize DevSecOps tools for code deployment and versioning.
- Conduct in-depth research and analysis of retrieval techniques, language models, and generative AI methodologies.
- Collaborate with data engineers to enhance data pipeline efficiency and accuracy.
- Develop and refine retrieval-augmented generation (RAG) methods, including embedding, chunking, loading, and search algorithm setup.
- Experiment with various retrieval strategies, such as information retrieval, nearest-neighbor searches, or knowledge graph-based approaches, to enhance generative AI models.
- Optimize and fine-tune AI models for performance, scalability, and accuracy.
- Partner with cross-functional teams, including product managers, data scientists, and software engineers, to deliver AI-driven solutions.
- Present findings, insights, and methodologies to stakeholders, contributing to strategic decision-making.
- Document AI models, algorithms, and processes thoroughly, preparing technical reports and presentations.
- Stay current with advancements in AI and machine learning technologies.
- Participate in Agile ceremonies to execute prioritized projects and features.
- Implement automated testing and monitoring to ensure the accuracy and reliability of AI systems.

**Education**:
**Requirements**:

- 4+ years of experience in AI engineering.
- Strong programming skills in Python.
- Proven experience in building scalable AI solutions within a modern technology stack, including cloud services, data pipelines, and databases.
- Proficiency in CI/CD and test-driven development.
- Experience in building RESTful APIs for AI models.
- Strong knowledge of machine learning concepts, such as neural networks, optimization algorithms, and evaluation metrics.
- Familiarity with retrieval-augmented generation (RAG) techniques.
- Knowledge of prompt engineering techniques, including instruction design, template-based approaches, and fine-tuning strategies.
- Excellent communication and collaboration skills.
- Analytical, detail-oriented, and capable of managing multiple projects simultaneously.

**Preferred Skills**:

- Experience working in an Agile methodology.
- Proficiency in additional programming languages, such as Node.js, TypeScript, C#, or Java.
- Demonstrated expertise in developing and refining prompts for generative AI models.
- Experience with AWS Cloud.
- Familiarity with building, deploying, and managing Docker images.

**What you'll get in return**

In return, you'll be part of an organisation that values its employees. You will have a structured career growth and plenty of global developmental opportunities.

**What you need to do now**

If this job isn't quite right for you, but you are looking for a new position within AI & Machine Learning & Robotics, please contact us as well.

EA Reg Number: R1988154

EA License Number: 07C3924 | Company Registration No: 200609504D


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